2016 IEEE Healthcare Innovation Point-of-Care Technologies Conference (HI-POCT) 2016
DOI: 10.1109/hic.2016.7797711
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Characterization of a compact and highly sensitive fluorescence-based detection system for point-of-care applications

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Cited by 8 publications
(3 citation statements)
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“…At the center of the system, providing sequencing and control is the microcontroller module (M4) implemented with an Arduino Uno, that monitors, acquires, and digitizes the amplifier output voltage, recording time taken for the output voltage to rise to the voltage rail of the amplifier (ramp-time, RT). The RT is inversely correlated with the sample concentration as a higher fluorophore concentration implies more light, a steeper slope, and thus, a smaller RT (Obahiagbon et al, 2016). We define detection time (DT) as the ramp time different between a negative control or reference sample and a sample under test.…”
Section: Methodsmentioning
confidence: 99%
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“…At the center of the system, providing sequencing and control is the microcontroller module (M4) implemented with an Arduino Uno, that monitors, acquires, and digitizes the amplifier output voltage, recording time taken for the output voltage to rise to the voltage rail of the amplifier (ramp-time, RT). The RT is inversely correlated with the sample concentration as a higher fluorophore concentration implies more light, a steeper slope, and thus, a smaller RT (Obahiagbon et al, 2016). We define detection time (DT) as the ramp time different between a negative control or reference sample and a sample under test.…”
Section: Methodsmentioning
confidence: 99%
“…Previously, we reported the performance of a fluorescence detection system that uses relatively expensive 25 mm fi in a single site configuration (Katchman et al, 2016; Obahiagbon et al, 2016; Smith et al, 2016). Here, we discuss the use of 3×3 mm filter The 3×3 mm fi were mounted directly on the LEDs and photodiodes using optically clear UV curing adhesive, (NOA63, Norland Prodcuts Inc., NJ, USA) as shown in Fig.…”
Section: Methodsmentioning
confidence: 99%
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